Ethereum ETFs flip to $117mln inflows – Will ETH reclaim $3K next?

ambcryptoPublished on 2026-01-28Last updated on 2026-01-28

Abstract

Ethereum ETFs recorded $117 million in net inflows on January 26th, led by Fidelity with $137 million, while BlackRock saw outflows, indicating selective institutional interest rather than broad accumulation. Despite this, Ethereum's price action remained constrained, trading around $2,908 with key support near $2,900 and $2,850. Breaking the $3,000 resistance is crucial for a potential move toward $3,200–$3,400, though weak momentum indicators like the MACD and RSI suggest limited buying pressure. Additionally, Ethereum’s network fees dropped to multi-year lows, improving scalability but raising questions about sustained long-term growth.

Ethereum rebounded on the 26th of January, posting $117 million in net inflows into U.S. spot Ethereum ETFs. Fidelity dominated the session, recording $137 million in inflows and snapping a four-day outflow streak.

By contrast, BlackRock registered net outflows on the day. That divergence highlighted selective institutional positioning rather than broad-based accumulation.

The reversal in ETF flows followed multiple sessions of sustained outflows. That shift left traders focused on whether institutions were rebuilding exposure or executing short-term reallocations.

Even so, inflows alone did not guarantee immediate price expansion.

Ethereum network fees hit multi-year lows

Glassnode data showed Ethereum’s Total Transaction Fees fell to their lowest level since May 2017 on the 27th of January.

This sharp decline boosted scalability and security, driving the ecosystem forward. Lower fees solidified a healthier ecosystem, but the real challenge remains sustaining explosive long-term growth. This mirrors the powerful expansions of 2017 and 2021 when fees also dropped to these levels.

Liquidity thickens below $2,900

Ethereum’s liquidity clusters around $2,900 and $2,850 offered crucial downside support. Large buy orders in these zones triggered accumulation from whales, creating solid backing.

But what happens if the price drops below these levels? Will market makers hunt that liquidity, causing a cascading effect and leading to a deeper pullback?

At the time of writing, Ethereum [ETH] was trading at $2,908. Reclaiming and breaking the $3,000 level became the new benchmark. A successful reclaim and clearing of the downtrend could have pushed Ethereum toward the $3,200-$3,400 resistance zone.

However, momentum indicators like the MACD showed signs of weakness, and the RSI was in the 40s, indicating a lack of strong buying momentum. Ethereum’s ability to break the $3,000 resistance would have defined its next move.


Final Thoughts

  • Ethereum saw $117 million in net inflows into U.S. spot ETFs. While Fidelity absorbed most inflows, BlackRock posted net outflows, signaling selective positioning rather than uniform institutional accumulation.
  • Liquidity clustered near $2,900 and $2,850 offered support.

Related Questions

QWhat was the net inflow amount for U.S. spot Ethereum ETFs on January 26th, and which firm dominated the session?

AThe net inflow was $117 million, and Fidelity dominated the session with $137 million in inflows.

QAccording to Glassnode, when was the last time Ethereum's Total Transaction Fees were as low as they were on January 27th?

AThe last time fees were this low was in May 2017.

QWhat are the two key liquidity support levels mentioned for Ethereum's price?

AThe key liquidity support levels are $2,900 and $2,850.

QWhat does the article suggest the RSI indicator being in the 40s signifies for Ethereum?

AIt indicates a lack of strong buying momentum.

QWhat resistance zone could Ethereum have moved toward if it successfully reclaimed the $3,000 level?

AIt could have moved toward the $3,200-$3,400 resistance zone.

Related Reads

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

In May 2026, China's national ministries released two pivotal policy documents that jointly establish a strategic "dual-track" framework for the AIoT industry. The "Intelligent Agent Standardized Application and Innovation Development Implementation Opinions" defines the "soul"—positioning intelligent agents as core AI products. The "Artificial Intelligence Terminal Intelligence Grading" national standard defines the "body"—establishing a four-tier capability ladder (L1 to L4) for AI hardware. This synchronized policy approach is globally unique, moving beyond market-led (US) or risk-focused (EU) models. It frames AIoT as a new type of "intelligent infrastructure," comparable to electricity or the internet in historical significance. The core analysis identifies a value evolution from IoT 1.0 (connection) to AIoT 4.0 (collaboration, represented by the forward-looking L4 level). This "L4" signifies a paradigm shift: from users operating tools to delegating tasks to agent-like devices ("Intelligent Action of All Things"). The article outlines three strategic paths for companies: becoming Standard Definers, Scenario Integrators (focusing on 19 specified application areas), or Infrastructure Builders. A critical 18-24 month window is identified for strategic positioning. A "Four Levers" strategy is proposed: leveraging Standards (L-level certification), leveraging Scenarios (deep vertical focus), leveraging Open Source (for cost reduction and ecosystem influence), and leveraging Momentum (engaging in global protocol ecosystems). In conclusion, these policies are a starting gun for a decade-long industrial transformation, shifting the industry narrative from "Intelligent Connection of All Things" to "Intelligent Action of All Things," with companies needing to choose their赛道and execution strategy decisively.

marsbit42m ago

2026 New Policy Interpretation: The "Mutual Pursuit" of Intelligent Agents and AI Terminals, and the Three Major Value Reconstructions in the AIoT Industry

marsbit42m ago

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

On May 11th, OpenAI announced the formation of a new company, "OpenAI Deployment Company," with an initial investment of over $4 billion (approximately 27.2 billion RMB). This venture aims to help businesses build and deploy AI solutions. OpenAI is also acquiring the AI consulting firm Toromo to rapidly scale the deployment company's capabilities. This new entity, majority-owned by OpenAI, brings together 19 investment, consulting, and system integration partners, led by TPG with co-lead founding partners including Advent International, Bain Capital, and Brookfield. OpenAI's Chief Revenue Officer, Denise Dresser, stated that while AI is becoming increasingly capable, the current challenge lies in integrating these systems into core business infrastructure and workflows. The deployment company is designed to bridge this gap and translate AI capabilities into operational impact. This move comes as OpenAI emphasizes the next competitive phase will depend on the efficiency of deploying AI in real business scenarios. The company reports over 1 million businesses already use its products and APIs. OpenAI is significantly increasing its investments in computing power, with co-founder Greg Brockman stating the company expects to spend $50 billion on compute this year, a dramatic increase from $3 million in 2017. The announcement follows OpenAI's recent completion of a record $122 billion funding round in late March, led by Amazon, Nvidia, and SoftBank, valuing the company at $852 billion post-money. Major strategic investors committed $110 billion as a base for this round. Concurrently, OpenAI is advancing its core model development. It has shifted focus from its Sora video generator to developing advanced robotics and AI models that interact with the physical world. It has also begun allowing select users access to a new model specialized in identifying software vulnerabilities and is reportedly preparing to launch an enhanced image generation model in the coming weeks. According to reports citing founder Sam Altman, OpenAI is considering an IPO as early as 2027, with a potential valuation around $1 trillion.

marsbit58m ago

Splashing Out 27 Billion Yuan, OpenAI Establishes New Company to Accelerate AI Deployment

marsbit58m ago

Trading

Spot
Futures

Hot Articles

Discussions

Welcome to the HTX Community. Here, you can stay informed about the latest platform developments and gain access to professional market insights. Users' opinions on the price of ETH (ETH) are presented below.

活动图片